Answer:

Step-by-step explanation:
Using the power of power rule (multiply the exponents)
×
× 

When exponents are multiplied, add the answers:
x ^ ( 4/9 + 2/9 )
x ^ ( 6/9 )
x ^ ( 2/3 )
When you square root something’s it’s times by the same number
-1 squared =-1•-1
1•1=1
-•-=+
-1•-1=+1
=1
Answer:
your answer would be .
Step-by-step explanation:
8750
Answer:
760,000
Step-by-step explanation:
Answer:
248.96
Step-by-step explanation:
From this regression output we have the MS Residual or mean squared error to be equal to 61983.1
the question requires us to find the standard error of the estimate. The standard error of the estimate can be gotten by finding the square root of the MSE.

= 248.96
the standard error of the estimate = 248.96
thank you!